Produce customer-facing technical content in both Arabic and English: solution briefs, deployment guides, demo scripts, and case studies.
Bring field signal back to the Edge & Phy AI product teams.
Qualifications
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
At least 5-6 years of experience in a technical role — software engineering, solutions engineering, technical consulting, or technical support with a strong engineering component.
Strong Knowledge of computer vision, video analytics, sensor fusion, IoT, geospatial intelligence, or real-time operational technologies (OT).
Strong understanding of edge AI solutions, AI & agentic AI frameworks such as vLLM,OVMS, LangGraph, LangChain, and LlamaIndex.
Strong understanding of Agentic AI, multi-agent systems, and AI orchestration frameworks.
Hands-on developer capable of building agentic AI workflows, RAG systems, computer vision pipelines, integrations, APIs, and customer PoCs.
Experience in Python, SQL, JavaScript/TypeScript, Bash, PyTorch, TensorFlow, ONNX.
Experience with microservices development and frameworks as Kubernetes and OpenShift.
Ability to translate complex technical capabilities into measurable business outcomes.
Fluent in both Arabic and English — able to lead a customer meeting, deliver a technical presentation, and write documentation in either language.
Willingness to travel within Saudi Arabia and occasionally within the MENA region for client visits
Preferred Qualifications
Experience deploying Edge AI workloads and across distributed edge architectures.
Understanding of Cognitive City, Intelligent Infrastructure, Critical Infrastructure use cases across transportation, public safety, utilities, energy, healthcare, or smart buildings
Familiarity with sovereign AI architecture, data governance, AI lifecycle management (MLOps/AIOps), and secure AI deployments
Prior customer-facing experience at a technology company, system integrator, consulting firm within the MENA region
Contributions to AI, edge computing, open-source, or developer communities through technical blogs, GitHub projects, conference presentations, workshops, or hackathons
Why join us
Be a founding member of Intel's customer success engineering presence in Saudi Arabia, working with the Kingdom's most ambitious AI customers.
Hands-on technical role with direct customer impact — see your work shipped into production at scale.
Mentorship from senior engineers and customer success leaders, with structured early-career development.
Competitive compensation, travel support, and Intel's standard benefits package adapted for the Saudi market.
Job Type
Experienced Hire
Shift
Shift 1 (Saudi Arabia)
Primary Location
Saudi Arabia, Riyadh
Additional Locations
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
- Work Model for this Role
- This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
